Datasets - Spektral
https://graphneural.network/datasetsMNIST spektral.datasets.mnist.MNIST(p_flip=0.0, k=8) The MNIST images used as node features for a grid graph, as described by Defferrard et al. (2016). This dataset is a graph signal classification task, where graphs are represented in mixed mode: one adjacency matrix, many instances of node features.
Containers - Spektral
https://graphneural.network/dataHave a look at the spektral.datasets module for examples of popular datasets already implemented. Arguments. transforms: a callable or list of callables that are automatically applied to the graphs after loading the dataset. Data utils to_disjoint spektral.data.utils.to_disjoint(x_list=None, a_list=None, e_list=None)